| In recent years, such as classroom, home indoor environment where there arenumerous unsubstantiated reports related to the power waste, and may have a trend ofmore and more rampant. Aiming at this kind of problem, this paper puts forward a setof indoor intelligent control system scheme based on multiple information fusion, andmainly from the following several aspects has carried on the thorough research:First of all, this paper puts forward is given priority to with video information,the information fusion of multiple auxiliary sensor information fusion method, thismethod is effective to make up for a single type of information analysis of indooranalysis accuracy is not high, the shortcomings of robustness is not strong. One ofvideo information collection and analysis of the main research, including the maintechnology such as video decoding, wireless transmission and image recognitionalgorithm, such as code of this model, the LDP operator proposed space-time doubledomain with the method of effective extraction of video prospect target, throughexperiment, the method detecting speed, high efficiency.Secondly, choose the artificial neural network as the core of intelligent decisionmaking system, in view of the method the number of iterations, the consumption ofresources, such as time consuming problem and study the limit of Huang et al methodof study, in the guarantee of classification efficiency at the same time effectivelyimprove the learning speed.Again, a set of independent research and development work in2.4G spectrum ofwireless communication module is used for auxiliary sensor information collectionand indoor home appliance control.Finally, combining with the information collection and analysis module,intelligent decision-making module and wireless control acquisition module ofresearch, to build a set of indoor intelligent control system, through experimental tests,this paper puts forward the solution to effective control of indoor home applianceequipment. |
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